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ServiceNow CIS-PA Exam Syllabus Topics:

TopicDetails
Topic 1
  • Administration and Solutions: This domain covers administrative tasks using the Admin Console and accelerating deployment with pre-built Content Packs.
Topic 2
  • Data Visualization: This section focuses on presenting data through widgets, interactive filters, appropriate visualizations, dashboards, and analyzing data using Analytics Hub and KPI Details.
Topic 3
  • Data Collection: This domain explains how Performance Analytics gathers and processes data, including collection flow, configuration properties, and troubleshooting collection issues.
Topic 4
  • Perform Diagnostics and Troubleshooting: This section addresses identifying and resolving issues using Spotlight diagnostic tools to monitor system health and performance.
Topic 5
  • Configure Breakdowns and Breakdown Sources: This section covers setting up breakdowns to analyze indicators across different dimensions, including breakdown mappings, matrices, exclusions, scripted mappings, and bucket groups.
Topic 6
  • Configure Indicators and Indicator Sources: This domain addresses creating and configuring indicators (performance metrics), including source conditions, fact tables, indicator types, properties, and aggregation scripts.

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ServiceNow Certified Implementation Specialist - Platform Analytics Sample Questions (Q42-Q47):

NEW QUESTION # 42
Which Breakdown should be excluded from the Historical Data Collection job configured for the indicator Number of open and overdue incidents?

Answer: B

Explanation:
Historical Data Collection is intended to accurately reconstruct past indicator scores. Age-based breakdowns must be excluded because age is a time-relative value that cannot be reliably recalculated for historical points in time.
For the indicator Number of open and overdue incidents, breakdowns such as Location, Category, and State can be historically recalculated by evaluating record attributes at specific points in time. However, Age depends on the exact moment of evaluation and changes continuously, making it unsuitable for historical backfilling.
ServiceNow documentation explicitly warns against using age or duration-based breakdowns in historical data collection jobs, as they lead to inaccurate or misleading results. Therefore, option A is the correct and documented exclusion.


NEW QUESTION # 43
Where areNext Experience DashboardsandData Visualizationscreated?

Answer: C

Explanation:
Analytics Centeris the workspace used to create and manageNext Experience DashboardsandData Visualizations. It provides a unified interface for building modern, interactive analytics experiences, including metric visualizations, time series, breakdown views, and dashboards.
Analytics Hub is primarily used forviewing and exploring existing analytics, not creating them. Reports Administration and Analytics Administration serve different purposes and do not support Next Experience dashboard creation. ServiceNow documentation explicitly identifies Analytics Center as the creation and management environment for Next Experience analytics content, making option D the correct answer.


NEW QUESTION # 44
Which application helps to obtain insights onnew and returning platform usersand theirnavigation patterns
?

Answer: D

Explanation:
User Experience Analyticsis the application designed to analyzeuser behavior, including new versus returning users, session frequency, navigation paths, page views, and interaction patterns across the ServiceNow platform. It provides insights into how users engage with the platform and helps organizations optimize usability, adoption, and performance.
Responsive Dashboards and Next Experience Dashboards are visualization and UI frameworks, not behavioral analytics tools. Platform Analytics Workspace focuses on KPI monitoring and process performance, not clickstream or navigation behavior. ServiceNow documentation clearly positions User Experience Analytics as the solution for understanding how users interact with the platform, making option D the correct answer.


NEW QUESTION # 45
Which Breakdown is most likely to use a Bucket Group as its Breakdown Source?

Answer: A

Explanation:
A Bucket Group is used in Platform Analytics to categorize numeric or time-based values into ranges. The Hour of day breakdown is a classic example of this usage, as it groups records into defined hourly ranges (for example, 00-01, 01-02, and so on).
Priority, Business Service, and Assignment Group are categorical fields that use direct field mappings and do not require bucket logic. Bucket Groups are specifically intended for non-categorical data such as time, age, duration, or numeric ranges. ServiceNow documentation explicitly identifies time-based breakdowns, such as hour of day or age ranges, as appropriate use cases for Bucket Groups. Therefore, option A is the correct answer.


NEW QUESTION # 46
What is an example of how Platform Analytics can help achieve the goal of reducing IT spending by 10%?

Answer: B

Explanation:
Platform Analytics helps reduce IT spending by enablingcost visibility, trend analysis, and optimization insights. Breaking downincident resolution costsallows organizations to identify high-cost incident categories, inefficient processes, or teams with unusually long resolution times. By correlating cost data with performance indicators, leaders can make data-driven decisions to streamline workflows, reduce rework, and optimize resource allocation.
User satisfaction surveys (option A) provide qualitative feedback but do not directly measure or reduce costs.
Importing asset cost reports (option B) is a reporting or data integration activity, not an analytics-driven optimization approach. Automating password resets (option D) is an operational improvement but does not directly leverage Platform Analytics capabilities. ServiceNow documentation emphasizes that Platform Analytics supportsstrategic objectivessuch as cost reduction by revealing inefficiencies through indicators, breakdowns, and historical trend analysis-making option C the correct answer.


NEW QUESTION # 47
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